Author: Markus Luczak-Roesch
Title: Networks of information token recurrences derived from genomic sequences may reveal hidden patterns in epidemic outbreaks: A case study of the 2019-nCoV coronavirus. Document date: 2020_2_11
ID: kevrp8rg_42
Snippet: Our study was performed as a snapshot case study on a limited sample of virus data. While this was at the time of this study all data that was available, we will need to re-execute this analysis continuously as more data becomes available to check whether any of our results change. Furthermore, our results indicate that experiments with 7/33 . CC-BY 4.0 International license It is made available under a author/funder, who has granted medRxiv a li.....
Document: Our study was performed as a snapshot case study on a limited sample of virus data. While this was at the time of this study all data that was available, we will need to re-execute this analysis continuously as more data becomes available to check whether any of our results change. Furthermore, our results indicate that experiments with 7/33 . CC-BY 4.0 International license It is made available under a author/funder, who has granted medRxiv a license to display the preprint in perpetuity.
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